A Method of Fault Diagnosis: Presentation of a Deep Knowledge System.

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1987

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In fault diagnostic expert systems, the knowledge can be either shallow (experience-based) or deep (function-based). This paper presents a deep-knowledge expert system for fault detection in process operations and control domain. The structure used for modelling deep-knowledge is called Goal-Tree-Success Tree. An expert system shell has been built for applying this deep- knowledge model utilizing the logic based language PROLOG. An example, applying this deep-knowledge model and the developed expert system shell, is also presented.

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